Deep learning-based automated multiclass classification of chest X-rays into Covid-19, normal, bacterial pneumonia and viral pneumonia

Review Computer Science, Artificial Intelligence

Prediction of global spread of COVID-19 pandemic: a review and research challenges

Saloni Shah et al.

Summary: Since the outbreak of the COVID-19 pandemic, collaboration between the scientific community and governments has led to the use of various research methods to predict the spread of the virus and coordinate response measures.

ARTIFICIAL INTELLIGENCE REVIEW (2022)

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Review Biochemical Research Methods

Review of analytical performance of COVID-19 detection methods

Basant Giri et al.

Summary: In the recent COVID-19 pandemic, various diagnostic methods have been developed for detecting the virus, with factors such as throughput, infrastructure requirements, and analytical performance varying between methods. Selecting a reliable and rapid diagnostic method is crucial for making appropriate decisions and implementing effective public health interventions.

ANALYTICAL AND BIOANALYTICAL CHEMISTRY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

Deep Transfer Learning for COVID-19 Prediction: Case Study for Limited Data Problems

Saleh Albahli et al.

Summary: This study utilizes deep learning models, particularly InceptionNetV3, to achieve automatic diagnosis of COVID-19. As the dataset grows, other models like Inception ResNetV2 and NASNetlarge can also perform better in classification.

CURRENT MEDICAL IMAGING (2021)

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Article Medicine, General & Internal

SARS-CoV-2 Transmission From People Without COVID-19 Symptoms

Michael A. Johansson et al.

Summary: The study suggests that more than half of COVID-19 transmission may come from asymptomatic individuals, highlighting the importance of measures beyond identifying and isolating symptomatic cases in controlling the spread of the virus.

JAMA NETWORK OPEN (2021)

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Letter Medicine, General & Internal

Viral Dynamics of SARS-CoV-2 Variants in Vaccinated and Unvaccinated Persons

Stephen M. Kissler et al.

NEW ENGLAND JOURNAL OF MEDICINE (2021)

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Article Computer Science, Artificial Intelligence

Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network

Amit Kumar Das et al.

Summary: This study introduces a solution based on deep convolutional neural networks to detect COVID-19 positive patients using chest X-ray images. Multiple CNN models are utilized and combined through a weighted average ensembling technique for prediction.

PATTERN ANALYSIS AND APPLICATIONS (2021)

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Article Engineering, Biomedical

Automatic detection of coronavirus disease (COVID-19) in X-ray and CT images: A machine learning based approach

Sara Hosseinzadeh Kassani et al.

Summary: COVID-19 is highly transmittable and pathogenic, with no approved antiviral drug or vaccine for treatment. Computer-aided diagnosis systems can assist in early detection of COVID-19 abnormalities. Different deep learning-based feature extraction frameworks were compared for automatic COVID-19 classification in this study.

BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging